Accession Number : ADA186164

Title :   Some Properties of Maximum Likelihood Strategy for Re-Pairing Broken Random Sample.

Descriptive Note : Technical rept. 1 Jul 84-30 Jun 86,

Corporate Author : OHIO STATE UNIV RESEARCH FOUNDATION COLUMBUS

Personal Author(s) : Goel, Prem K ; Ramalingam, T

PDF Url : ADA186164

Report Date : Jan 1986

Pagination or Media Count : 17

Abstract : Matching data from a bivariate population is considered when observations are available only in the form of a broken random sample. In other words, a random sample of n pairs is drawn from the population but the observed data consist of n observations on the second component and the n observations on an unknown permutation of the first component of the n pairs of data. A maximum likelihood matching strategy is revisited. The proportion of approximately correct matches (due to Yahav) is used to evaluate the performance of the pairing strategy as n approaches limit of infinity. The small sample behavior of this proportion is studied via a Monte-Carlo simulation in the special case of bivariate normal parent population. Keywords: Asymptotic properties; Statistical data; Tables(data).

Descriptors :   *MAXIMUM LIKELIHOOD ESTIMATION, *STATISTICAL SAMPLES, ASYMPTOTIC SERIES, BIVARIATE ANALYSIS, LIMITATIONS, MATCHING, MONTE CARLO METHOD, POPULATION, SIMULATION, STATISTICAL DATA, STRATEGY, TABLES(DATA), REPAIR

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE